python-pymc-doc

Bayesian statistical models and fitting algorithms


PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.

This package provides the documentation in HTML format.

Related packages: python-pymc


Maintainer information

This software package is maintained for (Neuro)Debian by the follow individuals and/or groups:

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NeuroDebian Maintainers
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Yaroslav Halchenko
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Michael Hanke

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Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 7.0 (wheezy)   2.2+ds-1~nd70+1 i386, amd64, sparc
Debian GNU/Linux 8.0 (jessie) 2.2+ds-1 2.3.4+ds-1~nd80+1 i386, amd64, sparc
Debian testing (stretch) 2.2+ds-1 2.3.4+ds-1~nd80+1+nd90+1 i386, amd64, sparc
Debian unstable (sid) 2.2+ds-1 2.3.4+ds-1~nd+1 i386, amd64, sparc
Ubuntu 14.04 “Trusty Tahr” (trusty) 2.2+ds-1 2.3.4+ds-1~nd14.04+1 i386, amd64, sparc
Ubuntu 14.10 “Utopic Unicorn” (utopic) 2.2+ds-1 2.3.4+ds-1~nd14.04+1+nd14.10+1 i386, amd64, sparc
Ubuntu 15.04 “Vivid Vervet” (vivid) 2.2+ds-1 2.3.4+ds-1~nd14.04+1+nd14.10+1+nd15.04+1 i386, amd64, sparc
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